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Titlebook: Hybrid Predictive Control for Dynamic Transport Problems; Alfredo A. Nú?ez,Doris A. Sáez,Cristián E. Cortés Book 2013 Springer-Verlag Lond

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書目名稱Hybrid Predictive Control for Dynamic Transport Problems
編輯Alfredo A. Nú?ez,Doris A. Sáez,Cristián E. Cortés
視頻videohttp://file.papertrans.cn/431/430159/430159.mp4
概述Promotes coordination, safe and cost-sensitive operation of mass-transit systems.Presents methods which are easily extensible to other large-scale systems.Strengthens the armoury of methods usable for
叢書名稱Advances in Industrial Control
圖書封面Titlebook: Hybrid Predictive Control for Dynamic Transport Problems;  Alfredo A. Nú?ez,Doris A. Sáez,Cristián E. Cortés Book 2013 Springer-Verlag Lond
描述.Hybrid Predictive Control for Dynamic Transport Problems. develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems. Operational and service policies are considered, as well as cost reduction. The control structure is based on a sound definition of the key variables and their evolution. A flexible objective function able to capture the predictive behaviour of the system variables is described. Coupled with efficient algorithms, mainly drawn from area of computational intelligence, this is shown to? optimize performance indices for real-time applications. The framework of the proposed predictive control methodology is generic and, being able to solve nonlinear mixed integer optimization problems dynamically, is readily extendable to other industrial processes..The main topics of this book are:.·???????? hybrid predictive control (HPC) design based on evolutionary multiobjective optimization (EMO);.·???????? HPC based on EMO for dial-a-ride systems; and.·???????? HPC based on EMO for operational decisio
出版日期Book 2013
關鍵詞Computational Intelligence; Control; Control Applications; Dynamic Operational Processes; Dynamic Vehicl
版次1
doihttps://doi.org/10.1007/978-1-4471-4351-2
isbn_softcover978-1-4471-5940-7
isbn_ebook978-1-4471-4351-2Series ISSN 1430-9491 Series E-ISSN 2193-1577
issn_series 1430-9491
copyrightSpringer-Verlag London 2013
The information of publication is updating

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Hybrid Predictive Control: Mono-objective and Multi-objective Design,utation effort in comparison with classical methods. Moreover, this chapter presents a new approach for dealing with HPC formulations using evolutionary multi-objective optimization. Different criteria are proposed to obtain an optimal control action from the Pareto front.
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Introduction,roblems associated with the management of real-time operations involved in complex operational processes. In this sense, the problems that arise in the operation of transport systems have become of interest for applying not only the methodology, principles, and modeling techniques behind HPC but als
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Conclusions, continuous variables. The methodology is designed for real applications, particularly the study of dynamic transport systems, considering operational and service policies, as well as cost reductions. The modeling structure is based on the appropriate definition of the state-space equations, a flexi
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